Data processing method, apparatus, medium, device and computer program product

Abstract

The present disclosure relates to a data processing method, an apparatus, a medium, a device and a computer program product. The method includes: receiving retrieval data; matching the retrieval data with structured data in a knowledge database to obtain candidate question data and candidate answer data, where knowledge in the knowledge database is represented by the structured data, and each piece of the structured data includes one piece of answer data and at least one piece of question data corresponding to the answer data; and generating a target retrieval result corresponding to the retrieval data according to the candidate question data and the candidate answer data.

1 . A data processing method, comprising:
 receiving retrieval data;   matching the retrieval data with structured data in a knowledge database to obtain candidate question data and candidate answer data, wherein knowledge in the knowledge database is represented by the structured data, and each piece of the structured data comprises one piece of answer data and at least one piece of question data corresponding to the answer data; and   generating a target retrieval result corresponding to the retrieval data according to the candidate question data and the candidate answer data.   
     
     
         2 . The method according to  claim 1 , wherein the matching the retrieval data with the structured data in the knowledge database to obtain the candidate question data and the candidate answer data comprises:
 preprocessing the retrieval data to obtain processed retrieval data;   matching the processed retrieval data with the at least one piece of question data in the structured data, using the matched question data as the candidate question data, and using answer data corresponding to the candidate question data as the candidate answer data.   
     
     
         3 . The method according to  claim 1 , wherein the generating the target retrieval result corresponding to the retrieval data according to the candidate question data and the candidate answer data comprises:
 obtaining a matching degree between each piece of the candidate question data and the retrieval data; and   determining, in response to there being a matching degree greater than a preset threshold, candidate answer data corresponding to candidate question data with a highest matching degree as the target retrieval result.   
     
     
         4 . The method according to  claim 1 , wherein the generating the target retrieval result corresponding to the retrieval data according to the candidate question data and the candidate answer data comprises:
 obtaining a matching degree between each piece of the candidate question data and the retrieval data; and   constructing, in response to there being no matching degree greater than a preset threshold, a prompt text according to the candidate question data, the candidate answer data, and the retrieval data, to generate the target retrieval result based on the prompt text and a retrieval model.   
     
     
         5 . The method according to  claim 1 , wherein the structured data in the knowledge database is determined by:
 obtaining corpus data corresponding to knowledge;   processing the corpus data to obtain a processed text corresponding to the corpus data;   generating at least one piece of processed structured data corresponding to the processed text based on the processed text, wherein the processed structured data comprises one piece of processed answer data and at least one piece of processed question data corresponding to the processed answer data;   verifying the processed structured data to determine target structured data; and   updating the structured data in the knowledge database based on the target structured data.   
     
     
         6 . The method according to  claim 5 , wherein the verifying the processed structured data to determine the target structured data comprises:
 determining, for each piece of the processed structured data, whether the processed question data matches the processed answer data in the processed structured data; and   verifying the processed structured data based on the matched result and a verification condition to obtain the target structured data;   wherein the verification condition comprises:
 deleting, when the processed question data does not match the processed answer data, the processed question data; and 
 deleting, when there is no processed question data matching the processed answer data in the processed structured data, the processed structured data. 
   
     
     
         7 . The method according to  claim 5 , wherein the verifying the processed structured data to determine the target structured data comprises:
 displaying the processed structured data; and   updating, in response to receiving an update operation of a user on the processed question data in the processed structured data, the processed question data in the processed structured data with question data obtained after the update operation to obtain the target structured data.   
     
     
         8 . The method according to  claim 5 , wherein the updating the structured data in the knowledge database based on the target structured data comprises:
 determining whether there is second question data matching first question data in the target structured data in the structured data stored in the knowledge database;   storing, in response to there being no second question data, the target structured data in the knowledge database;   generating, in response to there being the second question data, updated answer data corresponding to the second question data based on first answer data in the target structured data and second answer data corresponding to the second question data; and   generating updated target structured data according to the first question data, the second question data, and the updated answer data, and storing the updated target structured data in the knowledge database.   
     
     
         9 . A non-transitory computer-readable storage medium, on which a computer program is stored, wherein when the computer program is executed by a processing apparatus, implements steps of a data processing method, the method comprising:
 receiving retrieval data;   matching the retrieval data with structured data in a knowledge database to obtain candidate question data and candidate answer data, wherein knowledge in the knowledge database is represented by the structured data, and each piece of the structured data comprises one piece of answer data and at least one piece of question data corresponding to the answer data; and   generating a target retrieval result corresponding to the retrieval data according to the candidate question data and the candidate answer data.   
     
     
         10 . The storage medium according to  claim 9 , wherein the matching the retrieval data with the structured data in the knowledge database to obtain the candidate question data and the candidate answer data comprises:
 preprocessing the retrieval data to obtain processed retrieval data;   matching the processed retrieval data with the at least one piece of question data in the structured data, using the matched question data as the candidate question data, and using answer data corresponding to the candidate question data as the candidate answer data.   
     
     
         11 . The storage medium according to  claim 9 , wherein the generating the target retrieval result corresponding to the retrieval data according to the candidate question data and the candidate answer data comprises:
 obtaining a matching degree between each piece of the candidate question data and the retrieval data; and   determining, in response to there being a matching degree greater than a preset threshold, candidate answer data corresponding to candidate question data with a highest matching degree as the target retrieval result.   
     
     
         12 . The storage medium according to  claim 9 , wherein the generating the target retrieval result corresponding to the retrieval data according to the candidate question data and the candidate answer data comprises:
 obtaining a matching degree between each piece of the candidate question data and the retrieval data; and   constructing, in response to there being no matching degree greater than a preset threshold, a prompt text according to the candidate question data, the candidate answer data, and the retrieval data, to generate the target retrieval result based on the prompt text and a retrieval model.   
     
     
         13 . The storage medium according to  claim 9 , wherein the structured data in the knowledge database is determined by:
 obtaining corpus data corresponding to knowledge;   processing the corpus data to obtain a processed text corresponding to the corpus data;   generating at least one piece of processed structured data corresponding to the processed text based on the processed text, wherein the processed structured data comprises one piece of processed answer data and at least one piece of processed question data corresponding to the processed answer data;   verifying the processed structured data to determine target structured data; and   updating the structured data in the knowledge database based on the target structured data.   
     
     
         14 . The storage medium according to  claim 13 , wherein the verifying the processed structured data to determine the target structured data comprises:
 determining, for each piece of the processed structured data, whether the processed question data matches the processed answer data in the processed structured data; and   verifying the processed structured data based on the matched result and a verification condition to obtain the target structured data;   wherein the verification condition comprises:
 deleting, when the processed question data does not match the processed answer data, the processed question data; and 
 deleting, when there is no processed question data matching the processed answer data in the processed structured data, the processed structured data. 
   
     
     
         15 . The storage medium according to  claim 13 , wherein the verifying the processed structured data to determine the target structured data comprises:
 displaying the processed structured data; and   updating, in response to receiving an update operation of a user on the processed question data in the processed structured data, the processed question data in the processed structured data with question data obtained after the update operation to obtain the target structured data.   
     
     
         16 . The storage medium according to  claim 13 , wherein the updating the structured data in the knowledge database based on the target structured data comprises:
 determining whether there is second question data matching first question data in the target structured data in the structured data stored in the knowledge database;   storing, in response to there being no second question data, the target structured data in the knowledge database;   generating, in response to there being the second question data, updated answer data corresponding to the second question data based on first answer data in the target structured data and second answer data corresponding to the second question data; and   generating updated target structured data according to the first question data, the second question data, and the updated answer data, and storing the updated target structured data in the knowledge database.   
     
     
         17 . An electronic device, comprising:
 a storage apparatus, on which a computer program is stored; and   a processing apparatus, configured to execute the computer program in the storage apparatus to implement steps of a data processing method, the method comprising:   receiving retrieval data;   matching the retrieval data with structured data in a knowledge database to obtain candidate question data and candidate answer data, wherein knowledge in the knowledge database is represented by the structured data, and each piece of the structured data comprises one piece of answer data and at least one piece of question data corresponding to the answer data; and   generating a target retrieval result corresponding to the retrieval data according to the candidate question data and the candidate answer data.   
     
     
         18 . The electronic device according to  claim 17 , wherein the matching the retrieval data with the structured data in the knowledge database to obtain the candidate question data and the candidate answer data comprises:
 preprocessing the retrieval data to obtain processed retrieval data;   matching the processed retrieval data with the at least one piece of question data in the structured data, using the matched question data as the candidate question data, and using answer data corresponding to the candidate question data as the candidate answer data.   
     
     
         19 . The electronic device according to  claim 17 , wherein the generating the target retrieval result corresponding to the retrieval data according to the candidate question data and the candidate answer data comprises:
 obtaining a matching degree between each piece of the candidate question data and the retrieval data; and   determining, in response to there being a matching degree greater than a preset threshold, candidate answer data corresponding to candidate question data with a highest matching degree as the target retrieval result.   
     
     
         20 . The electronic device according to  claim 17 , wherein the generating the target retrieval result corresponding to the retrieval data according to the candidate question data and the candidate answer data comprises:
 obtaining a matching degree between each piece of the candidate question data and the retrieval data; and   constructing, in response to there being no matching degree greater than a preset threshold, a prompt text according to the candidate question data, the candidate answer data, and the retrieval data, to generate the target retrieval result based on the prompt text and a retrieval model.